Technology and Computing

  • 2/17 Cleaning Messy Data: OpenRefine Workshop

    Do the occasional misspellings, extra spaces, random punctuation, weird capitalization or different styles of entering data plague your data consistency and accuracy? Messy data are a problem for data retrieval, interoperability, indexing or discovery. OpenRefine (formerly Google Refine) is a tool made to help you clean up messy data. OpenRefine is also a tool to transform data or begin to implement linked data. This workshop will introduce you to the basics of OpenRefine. If you have sample data to play with, by all means bring that in the form of an excel spreadsheet (i.e. .xsl or .xslx format). If you don’t have sample data, no need to worry, as we’ll have sample spreadsheets for you to clean up. Please download OpenRefine at http://openrefine.org/download.html before attending the workshop and bring your own laptop.

    Wednesday, February 17, 2016, 2:00 – 3: PM, Scholars’ Collaborative, Level 4 (HBL). Register at http://workshops.lib.uconn.edu/?sessionid=742

    For more information, contact: Jennifer Eustis at jennifer.eustis@uconn.edu